What are the hardware requirements for LiteGPT V2 Base?

LiteGPT V2 Base requires approximately 0.4 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LiteGPT V2 Base and how large is it?

LiteGPT V2 Base is developed by kmkrworks, a model with 201.4m parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate LiteGPT V2 Base?

LiteGPT V2 Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LiteGPT V2 Base by kmkrworks — VRAM 0.4GB, 4K context

Name: LiteGPT V2 Base
Author: kmkrworks

LiteGPT V2 Base is an open-source language model by kmkrworks. Features: 201.4m LLM, VRAM: 0.4GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.31.

Conversational En Endpoints compatible Litegpt Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/kmkrworks/LiteGPT-V2-Base

LiteGPT V2 Base Parameters and Internals

LLM Name	LiteGPT V2 Base
Repository 🤗	https://huggingface.co/kmkrworks/LiteGPT-V2-Base
Model Size	201.4m
Required VRAM	0.4 GB
Updated	2026-11-11
Maintainer	kmkrworks
Model Type	qwen3
Model Files	0.4 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad\|>
Vocabulary Size	32768

Rank the LiteGPT V2 Base capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to LiteGPT V2 Base

Best Alternatives	Context / RAM	Downloads	Likes
LiteGPT Llama V2 Instruct	4K / 0.4 GB	615	0

Note: green Score (e.g. "73.2") means that the model is better than kmkrworks/LiteGPT-V2-Base.